ALBERO
Engineering ambitious products
Case study · B2B SaaS · Bengaluru

Y-Combinator SaaS
Re-architected a single-tenant Rails monolith to multi-tenant on AWS. Cut infra cost 64% while scaling 4x.

Migrated to a multi-tenant Postgres + ECS architecture on AWS with row-level isolation, customer-specific encryption keys, and a tenant-aware autoscaling policy. Built a self-serve onboarding flow.

−64%
Infra cost
−99%
Onboarding time
4x
Users supported
−78%
On-call pages
The challenge

A post-YC B2B SaaS had hit Rails scaling limits at $1.2M ARR. Each new enterprise customer required a new Heroku app. Infra was eating 38% of revenue and the on-call burden was unsustainable.

The solution

Migrated to a multi-tenant Postgres + ECS architecture on AWS with row-level isolation, customer-specific encryption keys, and a tenant-aware autoscaling policy. Built a self-serve onboarding flow.

Outcomes
  • Infra cost dropped from 38% to 14% of revenue
  • Onboarding compressed from 2 weeks to 12 minutes
  • Scaled to 4x users without re-architecture
  • On-call paging dropped 78%
Architecture

Straight answers

Y-Combinator SaaS — the details

What challenge did Y-Combinator SaaS face?

A post-YC B2B SaaS had hit Rails scaling limits at $1.2M ARR. Each new enterprise customer required a new Heroku app. Infra was eating 38% of revenue and the on-call burden was unsustainable.

How did Albero Technologies solve it?

Migrated to a multi-tenant Postgres + ECS architecture on AWS with row-level isolation, customer-specific encryption keys, and a tenant-aware autoscaling policy. Built a self-serve onboarding flow.

What were the measurable results?

Infra cost dropped from 38% to 14% of revenue Onboarding compressed from 2 weeks to 12 minutes Scaled to 4x users without re-architecture On-call paging dropped 78%

What technology stack was used?

The solution was built with AWS ECS, PostgreSQL, Rails, Terraform, Datadog, Cloudflare.

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